class_docstr: !
  @brief Performs analysis of output dynamic of the hysteresis oscillatory network to extract information about clusters or color allocation.
docstr: !
  @brief Constructor of the analyser.
  
  @param[in] amplitudes (list): Output dynamic of the hysteresis oscillatory network, where one iteration consists of all amplitudes of oscillators.
  @param[in] time (list): Simulation time (timestamps of simulation steps) when amplitudes are stored.
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code: def __init__(self, amplitudes, time):
      """!
      @brief Constructor of the analyser.
  
      @param[in] amplitudes (list): Output dynamic of the hysteresis oscillatory network, where one iteration consists of all amplitudes of oscillators.
      @param[in] time (list): Simulation time (timestamps of simulation steps) when amplitudes are stored.
  
      """
      super().__init__(amplitudes, time)
  
file_path: pyclustering/pyclustering/gcolor/hysteresis.py
imports: from pyclustering.nnet.hysteresis import hysteresis_network, hysteresis_dynamic
label_desc: Use image node_id 1 to create a new hysteresis_analyser object from inherited base classes: hysteresis_dynamic with example: obj = hysteresis_analyser(amplitudes, time)